A Yield prediction model for Pinus kesiya plantations in Chiengmai, Thailand / (Record no. 2349)

MARC details
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fixed length control field 04004nam a2200301 a 4500
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control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240312144953.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 070606s19uu xx 00 eng d
040 ## - CATALOGING SOURCE
Transcribing agency CvSU Main Campus Library
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 634.9751
Item number P64 1979
100 #0 - MAIN ENTRY--PERSONAL NAME
Personal name Pimmanrojnagool, Viroj
Relator term author
9 (RLIN) 43265
245 10 - TITLE STATEMENT
Title A Yield prediction model for Pinus kesiya plantations in Chiengmai, Thailand /
Statement of responsibility, etc. by Viroj Pimmanrojnagool
260 0# - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Los Baños, Laguna :
Date of publication, distribution, etc. 1979.
Name of publisher, distributor, etc. Cavite State University- Main Campus,
300 ## - PHYSICAL DESCRIPTION
Extent 159 pages :
Other physical details illustrations ;
Dimensions 28 cm.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
500 ## - GENERAL NOTE
General note Thesis (Ph.D. - - Forest Resources Mgt.) University of the Philippines, College, Laguna.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
520 3# - SUMMARY, ETC.
Summary, etc. PIMMANROJNAGOOL, VIROJ, University of the Philippines at Los Bafios, March, 1979. A Yield Prediction Model for Pinus kesiya Plantations in Chiang Mai, Thailand. Major Professor: Dr. Romulo A. del Castillo.<br/><br/>Yield prediction models with the use of a system of equations model was the primary subject of this study. The primary objective has been to explore the simultaneous equations model for yield prediction and compare it with the ordinary least squares method, and secondarily, to develop a yield prediction model for Pinus kesiya plantations in Chiengmai, Thailand.<br/><br/>The model presented in this study is composed of two equations, stand basal area and yield equations. Based on 247 10-meter radius circular plots located and measured in four Pinus kesiya plantations in Chiengmai, Thailand, the model was specified by the method of two-stage least squares and ordinary least squares.<br/><br/>With the management regime and genetic variation held constant, yield has been shown to be adequately explained by stand age, site index, original stand spacing, and stand basal area. The results obtained from deriving the model by both the methods of two-stage least squares and ordinary least squares were similar in some respects. First, the component equations of the model were found to be highly significant. The basal area and yield equations provided very high values of rR. Second, both methods provided similar yield curves which conform with the properties of a theoretical yield curve being S-shaped and satisfying the differentiation properties. Third, using the chi-square test of accuracy, both the methods of two-stage least squares and ordinary least squares gave the same level of accuracy which is within 11.5 percent of the true value at .05 significance level.<br/><br/>Theory, however, tells us that with a system of equations like the one developed in this study, the method of ordinary least squares gives inconsistent estimators while the two-stage least squares method provides consistent and asymptotically efficient estimators of the system parameters. As such, the results obtained by the method of two-stage least squares were used to specify the yield prediction model for the Pinus kesiya plantations in Chiengmai, Thailand.<br/><br/>A system of equations model without original stand spacing and a single equation model were also developed in this study for purposes of comparison. Based on the coefficient of determination, the properties of the theoretical yield curve, and level of accuracy, the two-stage least squares model gave slightly better results. The level of accuracy was higher by 0.9 percent for the proposed model than the model without original stand spacing, and higher by about 1.2 percent than the single equation model.<br/><br/>
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Method of acquisition Submitted to the University Library
Date of acquisition 01/07/1994
Accession number T-1495
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pine trees
9 (RLIN) 43266
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Forestry
9 (RLIN) 9839
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
9 (RLIN) 1418
Course or Program Doctor of Philosophy
Major Forest Resources Mgt.
856 ## - ELECTRONIC LOCATION AND ACCESS
Port 80
Link text Click here to view thesis abstract and table of contents
Electronic File <a href="http://library.cvsu.edu.ph/cgi-bin/koha/opac-retrieve-file.pl?id=791469721a4e148e896dfc9fd7687715">http://library.cvsu.edu.ph/cgi-bin/koha/opac-retrieve-file.pl?id=791469721a4e148e896dfc9fd7687715</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Theses / Manuscripts
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Coded location qualifier Inventory number Total Renewals Full call number Barcode Date last seen Uniform Resource Identifier Price effective from Koha item type Public note
    Dewey Decimal Classification   Room use only Non-fiction Ladislao N. Diwa Memorial Library Ladislao N. Diwa Memorial Library Theses Section 01/07/1994 Submitted copy for the University Library THESIS/SP 600 1979 634.9751 P64 1979 00002348 08/04/2020 http://library.cvsu.edu.ph/cgi-bin/koha/opac-retrieve-file.pl?id=791469721a4e148e896dfc9fd7687715 08/04/2020 Theses / Manuscripts T-1495
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